BIOENGINEER

Single-dataset orange image benchmark reports 99.12% accuracy with ViT, PCA and SVM

A cross-validation study of 1,090 images from one public orange dataset found 99.12% ± 0.71% accuracy for ViT + PCA + SVM, ...
blog.csdn

Python机器学习入侵检测系统实战：Sniffer抓包与SVM分类全流程拆解

本内容遵循CC 4.0 BY-SA版权协议 简介：这是一份基于Python与机器学习实现的入侵检测系统项目源码，面向网络安全、机器学习方向的初学者与进阶学习者，可作为毕业设计、课程设计、大作业或 ...
GitHub

MalImg Family Classification

This three-person Machine Learning course project studies which malware family an image belongs to. Each grayscale image is derived from the bytes of one malware sample. The implemented core pipeline ...
vercel

Jev for Python engineers

It's simply impossible to not hear about Jev. Seemingly everyone is tinkering with it in some way, from using it to make trading decisions (what could possibly go wrong?) to generating UIs with it ...